Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 3
Search results for: Kiichi Urahama
3 Binarized-Weight Bilateral Filter for Low Computational Cost Image Smoothing
Authors: Yu Zhang, Kohei Inoue, Kiichi Urahama
Abstract:
We propose a simplified bilateral filter with binarized coefficients for accelerating it. Its computational cost is further decreased by sampling pixels. This computationally low cost filter is useful for smoothing or denoising images by using mobile devices with limited computational power.Keywords: bilateral filter, binarized-weight bilateral filter, image smoothing, image denoising, pixel sampling
Procedia PDF Downloads 4342 Integral Image-Based Differential Filters
Authors: Kohei Inoue, Kenji Hara, Kiichi Urahama
Abstract:
We describe a relationship between integral images and differential images. First, we derive a simple difference filter from conventional integral image. In the derivation, we show that an integral image and the corresponding differential image are related to each other by simultaneous linear equations, where the numbers of unknowns and equations are the same, and therefore, we can execute the integration and differentiation by solving the simultaneous equations. We applied the relationship to an image fusion problem, and experimentally verified the effectiveness of the proposed method.Keywords: integral images, differential images, differential filters, image fusion
Procedia PDF Downloads 4611 Dark and Bright Envelopes for Dehazing Images
Authors: Zihan Yu, Kohei Inoue, Kiichi Urahama
Abstract:
We present a method for de-hazing images. A dark envelope image is derived with the bilateral minimum filter and a bright envelope is derived with the bilateral maximum filter. The ambient light and transmission of the scene are estimated from these two envelope images. An image without haze is reconstructed from the estimated ambient light and transmission.Keywords: image dehazing, bilateral minimum filter, bilateral maximum filter, local contrast
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